Machine Learning Deployment Expert

1 day ago


New York, New York, United States PhysicsX Full time

About the Company

PhysicsX is a pioneering deep-tech company that's pushing the boundaries of machine learning in physics simulations. We're a team of scientists and engineers passionate about accelerating innovation in design and engineering.

We work with leading companies across various industries, from Space and Aerospace to Medical Devices and Electric Vehicles. Our goal is to create positive impact through improved designs, reduced emissions, and enhanced product performance.

  • As a member of our delivery teams, you'll be responsible for facilitating our customers' adoption of our Platform and libraries.
  • You'll deploy our proprietary ML platform to multiple cloud service providers and on-premise environments, collaborating with customers' engineers and IT professionals to ensure compliance with their security requirements.
  • You'll develop and deploy custom-tailored software solutions with high-performing teams, working closely with delivery colleagues and customers to deliver rapid impact.
  • You'll drive the technical direction of our Platform using learnings from customer interactions and rapid prototyping of solutions.
  • You'll continuously apply and improve software engineering best practices and coach your colleagues in their adoption.

Your Key Responsibilities

  1. Work directly with our customers and internal users to understand project requirements.
  2. Deploy our proprietary ML platform to multiple cloud service providers and on-premise environments.
  3. Own custom-tailed software solutions development, working closely with delivery colleagues and customers to deliver rapid impact.
  4. Collaborate within cross-functional teams to improve products and platforms.
  5. Drive the technical direction of our Platform based on customer interactions and rapid prototyping.
  6. Apply and improve software engineering best practices, coaching colleagues in their adoption.

Your Requirements

  • Relevant work experience of at least 1 year.
  • Excellent collaboration and communication skills.
  • Strong problem-solving skills, ability to analyze issues, identify causes, and recommend solutions quickly.
  • Experience with public cloud platforms (AWS, Azure, GCP).
  • Experience managing scalable Kubernetes workloads, optimizing for resource efficiency.
  • Understanding of security best practices for workloads in the cloud, including IAM.
  • Familiarity with high-level machine learning concepts.

About the Opportunity

This is an exciting chance to join a dynamic company making a real difference in science and engineering. You'll have the opportunity to shape the future of our Platform and contribute to groundbreaking projects.

What We Offer

  • A competitive salary (£120,000 - £240,000 per annum) depending on experience.
  • A comprehensive equity package.
  • Generous vacation and parental leave policies.
  • Complimentary office food and fun outings.
  • A flexible work environment with options for remote work and occasional visits to customers' sites.
  • Access to first-class equipment, including HPC.


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